{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "8f825cf4-37ae-4c2c-a390-942922d848b9",
   "metadata": {},
   "source": [
    " # PANDAS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "af1709a5-dbfd-47ee-bde4-98e7f8d571f0",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "a0ed5aa4-1dfa-4932-8ea1-8d4a79663546",
   "metadata": {},
   "outputs": [],
   "source": [
    "a=np.array(range(64))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "70468a5d-0718-432c-91d4-9454edfa7a60",
   "metadata": {},
   "outputs": [],
   "source": [
    "b=a.reshape(4,4,4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d8ff59df-4197-4516-a094-b91deaaf8159",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.int64(42)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "b[2,2,2]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0f6c342a-71bd-48c7-a948-53ce972bf853",
   "metadata": {
    "slideshow": {
     "slide_type": "-"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 60,  70,  65, 100, 230, 150, 100, 300, 250, 150])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 时间4点，5点，... 22点\n",
    "times = np.array([6, 7, 8, 11, 12, 13, 18, 19, 20, 21])\n",
    "# 顾客人数\n",
    "customers = np.array([60, 70, 65, 100, 230, 150, 100, 300, 250, 150])\n",
    "customers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "85183b13-9f7f-47cf-b344-807f24acb736",
   "metadata": {},
   "outputs": [],
   "source": [
    "Customers = pd.Series(customers,times)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "4df8b0f3-0419-4f2c-bfc7-e5d4a807a226",
   "metadata": {},
   "outputs": [],
   "source": [
    "times = np.array(['6h', '7h', '8h', '11h', '12h', '13h', '18h', '19h', '20h', '21h'])\n",
    "# 顾客人数\n",
    "customers = np.array([60, 70, 65, 100, 230, 150, 100, 300, 250, 150])\n",
    "Customers = pd.Series(customers,times)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "bcc2c1bd-5660-4ede-a5c4-479d70168da5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.int64(150)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Customers['13h']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "1be01f46-13e2-4a7d-ae42-07d67e4dfdcc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 60,  70,  65, 100, 230, 150, 100, 300, 250, 150])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Customers.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "3161856a-7820-489f-afba-6b10ea1acab9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 时段4点，5点，... 22点\n",
    "times = np.array([6, 7, 8, 11, 12, 13, 18, 19, 20, 21])\n",
    "# 顾客人数\n",
    "customers = np.array([60, 70, 65, 100, 230, 150, 100, 300, 250, 150])\n",
    "# 平均消费\n",
    "costs = np.array([6, 7, 8, 24, 23, 26, 45, 55, 45, 40])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "13fcdd8d-23a3-4f6b-b08d-dd5c7bc4490b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6      60\n",
       "7      70\n",
       "8      65\n",
       "11    100\n",
       "12    230\n",
       "13    150\n",
       "18    100\n",
       "19    300\n",
       "20    250\n",
       "21    150\n",
       "Name: customers, dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = {'customers': customers, 'costs': costs}\n",
    "df = pd.DataFrame(data, index=times)\n",
    "df['customers']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ca1e54b-2208-4735-952e-ff0edef98e76",
   "metadata": {},
   "source": [
    " ### 尝试创建随机的Series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "23b0aaee-8ff2-40a4-9e2b-012b03e2c73e",
   "metadata": {},
   "outputs": [],
   "source": [
    "politics = 45+np.random.randint(25,size=40)\n",
    "math = 50+np.random.randint(70,size=40)\n",
    "english = 40+np.random.randint(36,size=40)\n",
    "major = 60+np.random.randint(80,size=40)\n",
    "human = np.array(range(1,41))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "9621ae64-8952-40b0-9852-b89224675d68",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[69 59 64 54 62 64 55 56 68 67 50 51 51 66 53 55 66 51 62 52 55 60 68 55\n",
      " 63 51 54 68 68 53 50 47 60 52 54 46 46 68 60 51]\n"
     ]
    }
   ],
   "source": [
    "print(politics)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "b4a14ea2-e483-41b1-96ba-e39df6398878",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>politics</th>\n",
       "      <th>math</th>\n",
       "      <th>english</th>\n",
       "      <th>major</th>\n",
       "      <th>totals</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>64</td>\n",
       "      <td>99</td>\n",
       "      <td>55</td>\n",
       "      <td>64</td>\n",
       "      <td>282</td>\n",
       "      <td>282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>45</td>\n",
       "      <td>72</td>\n",
       "      <td>267</td>\n",
       "      <td>267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>58</td>\n",
       "      <td>80</td>\n",
       "      <td>52</td>\n",
       "      <td>121</td>\n",
       "      <td>311</td>\n",
       "      <td>311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>49</td>\n",
       "      <td>97</td>\n",
       "      <td>59</td>\n",
       "      <td>89</td>\n",
       "      <td>294</td>\n",
       "      <td>294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>61</td>\n",
       "      <td>77</td>\n",
       "      <td>64</td>\n",
       "      <td>115</td>\n",
       "      <td>317</td>\n",
       "      <td>317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>51</td>\n",
       "      <td>98</td>\n",
       "      <td>71</td>\n",
       "      <td>120</td>\n",
       "      <td>340</td>\n",
       "      <td>340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>63</td>\n",
       "      <td>64</td>\n",
       "      <td>40</td>\n",
       "      <td>124</td>\n",
       "      <td>291</td>\n",
       "      <td>291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>61</td>\n",
       "      <td>87</td>\n",
       "      <td>40</td>\n",
       "      <td>123</td>\n",
       "      <td>311</td>\n",
       "      <td>311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>57</td>\n",
       "      <td>58</td>\n",
       "      <td>71</td>\n",
       "      <td>138</td>\n",
       "      <td>324</td>\n",
       "      <td>324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>68</td>\n",
       "      <td>84</td>\n",
       "      <td>47</td>\n",
       "      <td>125</td>\n",
       "      <td>324</td>\n",
       "      <td>324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>68</td>\n",
       "      <td>55</td>\n",
       "      <td>62</td>\n",
       "      <td>134</td>\n",
       "      <td>319</td>\n",
       "      <td>319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>60</td>\n",
       "      <td>114</td>\n",
       "      <td>51</td>\n",
       "      <td>80</td>\n",
       "      <td>305</td>\n",
       "      <td>305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>54</td>\n",
       "      <td>52</td>\n",
       "      <td>47</td>\n",
       "      <td>96</td>\n",
       "      <td>249</td>\n",
       "      <td>249</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>45</td>\n",
       "      <td>79</td>\n",
       "      <td>41</td>\n",
       "      <td>127</td>\n",
       "      <td>292</td>\n",
       "      <td>292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>53</td>\n",
       "      <td>119</td>\n",
       "      <td>59</td>\n",
       "      <td>111</td>\n",
       "      <td>342</td>\n",
       "      <td>342</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>57</td>\n",
       "      <td>97</td>\n",
       "      <td>67</td>\n",
       "      <td>80</td>\n",
       "      <td>301</td>\n",
       "      <td>301</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>46</td>\n",
       "      <td>60</td>\n",
       "      <td>71</td>\n",
       "      <td>102</td>\n",
       "      <td>279</td>\n",
       "      <td>279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>58</td>\n",
       "      <td>78</td>\n",
       "      <td>46</td>\n",
       "      <td>130</td>\n",
       "      <td>312</td>\n",
       "      <td>312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>60</td>\n",
       "      <td>76</td>\n",
       "      <td>62</td>\n",
       "      <td>76</td>\n",
       "      <td>274</td>\n",
       "      <td>274</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>65</td>\n",
       "      <td>109</td>\n",
       "      <td>54</td>\n",
       "      <td>135</td>\n",
       "      <td>363</td>\n",
       "      <td>363</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>59</td>\n",
       "      <td>69</td>\n",
       "      <td>52</td>\n",
       "      <td>93</td>\n",
       "      <td>273</td>\n",
       "      <td>273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>52</td>\n",
       "      <td>85</td>\n",
       "      <td>42</td>\n",
       "      <td>92</td>\n",
       "      <td>271</td>\n",
       "      <td>271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>53</td>\n",
       "      <td>78</td>\n",
       "      <td>59</td>\n",
       "      <td>79</td>\n",
       "      <td>269</td>\n",
       "      <td>269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>45</td>\n",
       "      <td>68</td>\n",
       "      <td>75</td>\n",
       "      <td>134</td>\n",
       "      <td>322</td>\n",
       "      <td>322</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>57</td>\n",
       "      <td>63</td>\n",
       "      <td>55</td>\n",
       "      <td>137</td>\n",
       "      <td>312</td>\n",
       "      <td>312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>59</td>\n",
       "      <td>116</td>\n",
       "      <td>47</td>\n",
       "      <td>95</td>\n",
       "      <td>317</td>\n",
       "      <td>317</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>49</td>\n",
       "      <td>95</td>\n",
       "      <td>75</td>\n",
       "      <td>84</td>\n",
       "      <td>303</td>\n",
       "      <td>303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>46</td>\n",
       "      <td>61</td>\n",
       "      <td>58</td>\n",
       "      <td>120</td>\n",
       "      <td>285</td>\n",
       "      <td>285</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>66</td>\n",
       "      <td>63</td>\n",
       "      <td>41</td>\n",
       "      <td>117</td>\n",
       "      <td>287</td>\n",
       "      <td>287</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>64</td>\n",
       "      <td>96</td>\n",
       "      <td>66</td>\n",
       "      <td>88</td>\n",
       "      <td>314</td>\n",
       "      <td>314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>45</td>\n",
       "      <td>107</td>\n",
       "      <td>70</td>\n",
       "      <td>102</td>\n",
       "      <td>324</td>\n",
       "      <td>324</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>47</td>\n",
       "      <td>109</td>\n",
       "      <td>47</td>\n",
       "      <td>126</td>\n",
       "      <td>329</td>\n",
       "      <td>329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>67</td>\n",
       "      <td>88</td>\n",
       "      <td>74</td>\n",
       "      <td>79</td>\n",
       "      <td>308</td>\n",
       "      <td>308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>49</td>\n",
       "      <td>114</td>\n",
       "      <td>50</td>\n",
       "      <td>96</td>\n",
       "      <td>309</td>\n",
       "      <td>309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>63</td>\n",
       "      <td>111</td>\n",
       "      <td>64</td>\n",
       "      <td>74</td>\n",
       "      <td>312</td>\n",
       "      <td>312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>49</td>\n",
       "      <td>119</td>\n",
       "      <td>71</td>\n",
       "      <td>69</td>\n",
       "      <td>308</td>\n",
       "      <td>308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>47</td>\n",
       "      <td>73</td>\n",
       "      <td>56</td>\n",
       "      <td>64</td>\n",
       "      <td>240</td>\n",
       "      <td>240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>68</td>\n",
       "      <td>107</td>\n",
       "      <td>74</td>\n",
       "      <td>60</td>\n",
       "      <td>309</td>\n",
       "      <td>309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>58</td>\n",
       "      <td>67</td>\n",
       "      <td>40</td>\n",
       "      <td>83</td>\n",
       "      <td>248</td>\n",
       "      <td>248</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>56</td>\n",
       "      <td>65</td>\n",
       "      <td>70</td>\n",
       "      <td>87</td>\n",
       "      <td>278</td>\n",
       "      <td>278</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    politics  math  english  major  totals  total\n",
       "1         64    99       55     64     282    282\n",
       "2         50   100       45     72     267    267\n",
       "3         58    80       52    121     311    311\n",
       "4         49    97       59     89     294    294\n",
       "5         61    77       64    115     317    317\n",
       "6         51    98       71    120     340    340\n",
       "7         63    64       40    124     291    291\n",
       "8         61    87       40    123     311    311\n",
       "9         57    58       71    138     324    324\n",
       "10        68    84       47    125     324    324\n",
       "11        68    55       62    134     319    319\n",
       "12        60   114       51     80     305    305\n",
       "13        54    52       47     96     249    249\n",
       "14        45    79       41    127     292    292\n",
       "15        53   119       59    111     342    342\n",
       "16        57    97       67     80     301    301\n",
       "17        46    60       71    102     279    279\n",
       "18        58    78       46    130     312    312\n",
       "19        60    76       62     76     274    274\n",
       "20        65   109       54    135     363    363\n",
       "21        59    69       52     93     273    273\n",
       "22        52    85       42     92     271    271\n",
       "23        53    78       59     79     269    269\n",
       "24        45    68       75    134     322    322\n",
       "25        57    63       55    137     312    312\n",
       "26        59   116       47     95     317    317\n",
       "27        49    95       75     84     303    303\n",
       "28        46    61       58    120     285    285\n",
       "29        66    63       41    117     287    287\n",
       "30        64    96       66     88     314    314\n",
       "31        45   107       70    102     324    324\n",
       "32        47   109       47    126     329    329\n",
       "33        67    88       74     79     308    308\n",
       "34        49   114       50     96     309    309\n",
       "35        63   111       64     74     312    312\n",
       "36        49   119       71     69     308    308\n",
       "37        47    73       56     64     240    240\n",
       "38        68   107       74     60     309    309\n",
       "39        58    67       40     83     248    248\n",
       "40        56    65       70     87     278    278"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = {'politics':politics,'math':math,'english':english,'major':major}\n",
    "sc = pd.DataFrame(data, index=human)\n",
    "sc['totals'] = sc['politics']+sc['math']+sc['english']+sc['major']\n",
    "sc['total'] = sc[['politics','math','english','major']].sum(axis=1)\n",
    "sc"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c90b444a-d21e-4753-8651-2b8075c93e81",
   "metadata": {},
   "source": [
    " ### PANDAS的文件读写"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "54e44a9a-ae6f-4a3a-ac2d-408ad5bdc1c0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 150 entries, 0 to 149\n",
      "Data columns (total 5 columns):\n",
      " #   Column        Non-Null Count  Dtype  \n",
      "---  ------        --------------  -----  \n",
      " 0   sepal_length  150 non-null    float64\n",
      " 1   sepal_width   150 non-null    float64\n",
      " 2   petal_length  150 non-null    float64\n",
      " 3   petal_width   150 non-null    float64\n",
      " 4   species       150 non-null    object \n",
      "dtypes: float64(4), object(1)\n",
      "memory usage: 6.0+ KB\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv('data.csv')\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "34b20bfb-72e7-4e4e-8d62-51b3e79cd24b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.843333</td>\n",
       "      <td>3.054000</td>\n",
       "      <td>3.758667</td>\n",
       "      <td>1.198667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.828066</td>\n",
       "      <td>0.433594</td>\n",
       "      <td>1.764420</td>\n",
       "      <td>0.763161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.300000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.100000</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>0.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.800000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.350000</td>\n",
       "      <td>1.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.400000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>5.100000</td>\n",
       "      <td>1.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7.900000</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       sepal_length  sepal_width  petal_length  petal_width\n",
       "count    150.000000   150.000000    150.000000   150.000000\n",
       "mean       5.843333     3.054000      3.758667     1.198667\n",
       "std        0.828066     0.433594      1.764420     0.763161\n",
       "min        4.300000     2.000000      1.000000     0.100000\n",
       "25%        5.100000     2.800000      1.600000     0.300000\n",
       "50%        5.800000     3.000000      4.350000     1.300000\n",
       "75%        6.400000     3.300000      5.100000     1.800000\n",
       "max        7.900000     4.400000      6.900000     2.500000"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "d3c9b590-2733-4788-9bb3-98e0c9976e27",
   "metadata": {},
   "outputs": [],
   "source": [
    "species=list(df['species'].unique())   \n",
    "x=['sepal_length-sepal_width','sepal_length-petal_length','sepal_length-petal_width','sepal_width-petal_length']\n",
    "y=['sepal_length','sepal_length','sepal_length','sepal_width']\n",
    "z=['sepal_width','petal_length','petal_width','petal_length']\n",
    "colos=['red','blue','green']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "fa8e0d10-ac0e-4a86-93a5-8a7fcb0b3637",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1300x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(2, 2, figsize=(13,10))\n",
    "for i in range(3):\n",
    "    a = df[df['species'] == species[i]]\n",
    "    axs[0,0].scatter(a.sepal_length,a.sepal_width,c=colos[i],label=species[i],alpha=0.8, edgecolors='none')\n",
    "    axs[0,1].scatter(a.sepal_length,a.petal_length,c=colos[i],label=species[i],alpha=0.8, edgecolors='none')\n",
    "    axs[1,0].scatter(a.sepal_length,a.petal_width,c=colos[i],label=species[i],alpha=0.8, edgecolors='none')\n",
    "    axs[1,1].scatter(a.sepal_width,a.petal_length,c=colos[i],label=species[i],alpha=0.8, edgecolors='none')\n",
    "for i in range(2):\n",
    "    for j in range(2):\n",
    "        axs[i,j].set_title(x[i+j])\n",
    "        axs[i,j].set_xlabel(y[i+j])\n",
    "        axs[i,j].set_ylabel(z[i+j])\n",
    "        axs[i,j].legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "57000bf8-20e8-4249-87c4-71b71a5d20cd",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:base] *",
   "language": "python",
   "name": "conda-base-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
